mirror of
https://github.com/deepset-ai/haystack.git
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65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
from __future__ import annotations
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from typing import Dict, List, Optional, Union
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import numpy as np
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import pandas as pd
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try:
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from typing import Literal
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except ImportError:
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from typing_extensions import Literal # type: ignore
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from pydantic import BaseModel, Field, Extra
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from pydantic import BaseConfig
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from haystack.schema import Answer, Document
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BaseConfig.arbitrary_types_allowed = True
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BaseConfig.json_encoders = {
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np.ndarray: lambda x: x.tolist(),
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pd.DataFrame: lambda x: [x.columns.tolist()] + x.values.tolist(),
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}
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PrimitiveType = Union[str, int, float, bool]
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class RequestBaseModel(BaseModel):
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class Config:
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# Forbid any extra fields in the request to avoid silent failures
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extra = Extra.forbid
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class QueryRequest(RequestBaseModel):
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query: str
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params: Optional[dict] = None
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debug: Optional[bool] = False
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class FilterRequest(RequestBaseModel):
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filters: Optional[Dict[str, Union[PrimitiveType, List[PrimitiveType], Dict[str, PrimitiveType]]]] = None
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class CreateLabelSerialized(RequestBaseModel):
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id: Optional[str] = None
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query: str
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document: Document
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is_correct_answer: bool
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is_correct_document: bool
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origin: Literal["user-feedback", "gold-label"]
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answer: Optional[Answer] = None
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no_answer: Optional[bool] = None
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pipeline_id: Optional[str] = None
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created_at: Optional[str] = None
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updated_at: Optional[str] = None
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meta: Optional[dict] = None
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filters: Optional[dict] = None
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class QueryResponse(BaseModel):
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query: str
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answers: List[Answer] = []
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documents: List[Document] = []
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debug: Optional[Dict] = Field(None, alias="_debug")
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